Machine Learning Requires a Systematic Approach to Systems, Architecture, and data. Developing Machine Learning analytics yields immediate and long-term benefits. 1. Make Machine Learning Part of a Modernization Strategy After decades in research labs, machine learning is now getting enormous attention for real-world
The development of autonomous vehicles has been the strongest driver of auto tech investment in the past couple of years. According to the infographic about the future of cars from carsurance.net, more than $9 billion was funneled into the R&D
On August 4, 1997, Skynet came online to control the weapons arsenal of the United States with a mandate of “safeguarding the world.” Skynet started to learn at a geometric rate and became self-aware at 2:14am on August 29, 1997.
Artificial intelligence (AI) is making tremendous impact already in the world. Some of that impact is indirect and comes from the anticipation of things that may sound like science fiction now, which has led to massive investments in ideas and
In my earlier article, we talked about the usage of machine learning algorithms in autonomous cars. Obviously, the process of learning and implementation of machine learning is not without a huge set of challenges. In this article we will talk
Autonomous cars are very closely associated with Industrial IoT. IoT combined with other technologies such as machine learning, artificial intelligence, local computing etc are providing the essential technologies for autonomous cars. Very inquisitive questions for many is how are these